Students’ perceptions of AI-Driven tools in mathematics education: Implications for engagement, learning outcomes, instructional practices and implementation challenges

The integration of AI-based tools into Maths education is transforming traditional teaching methods and learning environments. This study explores students' perceptions of AI-based technologies and their effects on engagement, learning outcomes, and instructional practices. Using a descriptive approach, quantitative data were collected through questionnaires administered to a sample of (115) secondary and tertiary students, and the study instrument, the questionnaire, which included four main dimensions: engagement, learning outcomes, educational practices, and barriers to the use of AI applications in mathematics teaching and learning, and qualitative insights were obtained from focus group discussions. The results revealed that AI tools significantly enhance student engagement by providing interactive and adaptive learning experiences. Students reported improved problem-solving skills and conceptual understanding, attributed to the personalized feedback and real-time support provided by these technologies. In addition, the study highlights the role of AI-based tools in fostering a student-centred learning environment for mathematics learners, enabling teachers to tailor instructional strategies to suit individual needs. Despite these benefits, challenges such as access to technology, teacher readiness, and over-reliance on AI were noted. The study concludes with actionable recommendations for effectively integrating AI tools, emphasizing the importance of teacher professional development and equitable access to technology. These findings contribute to the growing body of knowledge on AI in education and provide valuable insights for decision-makers aiming to enhance Maths education through innovative technologies.
 
Keywords: Students’ perceptions - AI-Driven tools - mathematics education – engagement - learning outcomes - instructional practices - implementation challenges